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The Chan Zuckerberg Initiative (CZI) reports its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, making ...
Today, the Chan Zuckerberg Initiative (CZI) announced its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsA key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
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Vesicle cycle model reveals inner workings of brain synapseTheir model predicts parameters of synaptic function that could not be tested experimentally in the past, opening new avenues ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
The human brain is made up of billions of nerve cells (neurons) that communicate with each other in vast, interconnected ...
Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...
Modeling and implementation of biological neural networks are significant objectives of the neuromorphic research field. In this field, neuronal synchronization plays a significant role in the ...
SINGAPORE] The brain is full of unsolved mysteries. One startup thinks that it can crack these puzzles – and even open up new ...
Ferroelectric field-effect transistor (FeFET)-based circuit implementation mimicking FitzHugh-Nagumo neuron is proposed in this work. The proposed circuit is shown to mimic biological neuron ...
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